Fast and stable deep-learning predictions of material properties for solid solution alloys

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

CuAu binary alloy with 32 atoms - LSMS-3 data
Lupo Pasini, M. (Creator) & Eisenbach, M. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Feb 15 2021
DOI: 10.13139/OLCF/1765349
Dataset
FePt binary alloy with 32 atoms - LSMS-3 data
Lupo Pasini, M. (Creator) & Eisenbach, M. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Feb 15 2021
DOI: 10.13139/OLCF/1762742
Dataset
FeSi binary alloy electronic structure low-Si dataset (1024 atoms)
Lupo Pasini, M. (Creator), Reeve, S. (Creator), Samolyuk, G. (Creator), Ellis, D. (Creator) & Eisenbach, M. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Feb 15 2021
DOI: 10.13139/ORNLNCCS/1765080
Dataset

Datasets